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This paper is in the following e-collection/theme issue:

Non-Randomized Study Protocols and Methods (Non-eHealth) (1236) Clinical Information and Decision Making (3781) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (2399) Decision Support for Health Professionals (2274) Design and Formative Evaluation of Mobile Apps (1014) mHealth for Screening (470) Formative Evaluation of Digital Health Interventions (5224)

Published on in Vol 13 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/56607, first published .
Doctor performing an abdominal ultrasound on a male patient in a clinic.

Impact of an Automated Population-Level Cirrhosis Screening Program Using Common Pathology Tests on Rates of Cirrhosis Diagnosis and Linkage to Specialist Care (CAPRISE): Protocol for a Pilot Prospective Single-Arm Intervention Study

Impact of an Automated Population-Level Cirrhosis Screening Program Using Common Pathology Tests on Rates of Cirrhosis Diagnosis and Linkage to Specialist Care (CAPRISE): Protocol for a Pilot Prospective Single-Arm Intervention Study

Authors of this article:

Joan Ericka Flores1, 2 Author Orcid Image ;   Christina Trambas3 Author Orcid Image ;   Natasha Jovanovic3 Author Orcid Image ;   Alexander J Thompson1, 2, 4 Author Orcid Image ;   Jessica Howell1, 2, 4, 5 Author Orcid Image
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Journals

  1. Meena B, Behera B, Rudra O, Sharma D. Artificial intelligence in prognostication and treatment response modeling in advanced hepatocellular carcinoma. Artificial Intelligence in Gastroenterology 2026;7(2) View